Text to image synthesis using thought vectors
skip-thought-vectors 开源项目推荐(14 个)
skip-thought-vectors 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 14
GitHub 共 14 个仓库,已全部展示用于自然语言生成的各种无监督自动化指标的评估代码。
A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.
An implementation of skip-thought vectors in Tensorflow
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Neural style transfer of text building off of neural storyteller
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
A project for telling stories according to images in some particular style
Simple TensorFlow implementation of skip-thought vectors
该项目在 GitHub 上没有填写描述
Language Model and Skip-Thought Vectors (Kiros et al. 2015)
The task is to perform Text Summarization on emails in languages such as English, Danish, French, etc. using Python.
Bible Classification Task
Domain-specific content summarization API (NLP / Skip Thoughts)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 14 个项目;原始页面见 https://github.com/topics/skip-thought-vectors。
- 该话题在 GitHub 上共有 14 个仓库, 本站收录的是其中最热门的 14 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 14 个项目累计 3842 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。